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Scope

Frontiers in Artificial Intelligence publishes rigorously peer-reviewed research on the cutting-edge, disruptive technological revolution of Artificial Intelligence. We cover a broad range of topics in artificial intelligence and its various forms and applications, e.g. Medicine and Public Health, Law, Language, Finance, Business, Education, Sustainability, and Policy and Governance, to name but a few.

This journal has no chief editors.

Frontiers in Artificial Intelligence publishes rigorously peer-reviewed research on the cutting-edge, disruptive technological revolution of Artificial Intelligence. The journal publishes a broad range of topics in Artificial Intelligence and its various application areas. As a key interdisciplinary open-access journal, we are at the forefront of disseminating scientific knowledge and impactful discoveries to academics, policy-makers, industry, and the public worldwide.

We welcome research articles on these themes and beyond. There are a number of ways you can contribute to the journal:· Propose a Research Topic· Submit a manuscript to the journal· Apply to join the Editorial Board of a section as Associate or Review Editor· Recommend a new Specialty Section for inclusion in the journal

When submitting a manuscript to Frontiers in Artificial Intelligence, authors must submit the material directly to one of the specialty sections. Manuscripts are peer-reviewed by the Associate and Review Editors of the respective specialty section.

Articles published in the specialty sections above will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in the Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Artificial Intelligence.